Gangyi Feng

552 total citations
24 papers, 350 citations indexed

About

Gangyi Feng is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Gangyi Feng has authored 24 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 6 papers in Developmental and Educational Psychology. Recurrent topics in Gangyi Feng's work include Neurobiology of Language and Bilingualism (11 papers), Neuroscience and Music Perception (9 papers) and Functional Brain Connectivity Studies (5 papers). Gangyi Feng is often cited by papers focused on Neurobiology of Language and Bilingualism (11 papers), Neuroscience and Music Perception (9 papers) and Functional Brain Connectivity Studies (5 papers). Gangyi Feng collaborates with scholars based in China, Hong Kong and United States. Gangyi Feng's co-authors include Suiping Wang, Zude Zhu, Patrick C. M. Wong, Bharath Chandrasekaran, John H. Zhang, Hsuan-Chih Chen, Marcel Bastiaansen, Peter Hagoort, Erin M. Ingvalson and Nancy M. Young and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Gangyi Feng

23 papers receiving 346 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gangyi Feng China 10 288 116 76 29 24 24 350
Hyo Woon Yoon South Korea 10 313 1.1× 86 0.7× 75 1.0× 52 1.8× 18 0.8× 19 401
Marc Vander Ghinst Belgium 9 250 0.9× 52 0.4× 57 0.8× 21 0.7× 31 1.3× 22 322
Kiefer J. Forseth United States 9 314 1.1× 88 0.8× 46 0.6× 36 1.2× 42 1.8× 19 370
María‐Ángeles Palomar‐García Spain 10 255 0.9× 49 0.4× 47 0.6× 34 1.2× 18 0.8× 19 282
Sara B. Pillay United States 7 216 0.8× 99 0.9× 51 0.7× 25 0.9× 18 0.8× 12 244
Jens Kreitewolf Germany 10 212 0.7× 46 0.4× 109 1.4× 5 0.2× 15 0.6× 18 275
Mareike Grotheer Germany 14 475 1.6× 112 1.0× 132 1.7× 114 3.9× 13 0.5× 24 619
Nancy Niccum United States 12 438 1.5× 141 1.2× 88 1.2× 28 1.0× 40 1.7× 26 483
Holly Robson United Kingdom 13 385 1.3× 148 1.3× 51 0.7× 24 0.8× 73 3.0× 36 442
Asako Kashiwagi Japan 8 228 0.8× 52 0.4× 31 0.4× 23 0.8× 17 0.7× 17 294

Countries citing papers authored by Gangyi Feng

Since Specialization
Citations

This map shows the geographic impact of Gangyi Feng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gangyi Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gangyi Feng more than expected).

Fields of papers citing papers by Gangyi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gangyi Feng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gangyi Feng. The network helps show where Gangyi Feng may publish in the future.

Co-authorship network of co-authors of Gangyi Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Gangyi Feng. A scholar is included among the top collaborators of Gangyi Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gangyi Feng. Gangyi Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Feng, Gangyi, Manli Zhong, Xiaoyu Zhang, et al.. (2025). Identification of UBE2N as a biomarker of Alzheimer’s disease by combining WGCNA with machine learning algorithms. Scientific Reports. 15(1). 6479–6479. 2 indexed citations
2.
Zhang, Yahong, Ruifang Guo, Gangyi Feng, et al.. (2024). AβPP-tau-HAS1 axis trigger HAS1-related nuclear speckles and gene transcription in Alzheimer's disease. Matrix Biology. 129. 29–43. 4 indexed citations
3.
Yang, Yufang, et al.. (2024). Temporal neural dynamics of understanding communicative intentions from speech prosody. NeuroImage. 299. 120830–120830. 2 indexed citations
4.
Wang, Suiping, et al.. (2023). Distribution-dependent representations in auditory category learning and generalization. Frontiers in Psychology. 14. 1132570–1132570. 1 indexed citations
5.
Feng, Gangyi, et al.. (2023). The Extent of Hearing Input Affects the Plasticity of the Auditory Cortex in Children With Hearing Loss: A Preliminary Study. American Journal of Audiology. 32(2). 379–390. 2 indexed citations
6.
Wang, Suiping, et al.. (2022). Generalizable predictive modeling of semantic processing ability from functional brain connectivity. Human Brain Mapping. 43(14). 4274–4292. 3 indexed citations
7.
Zhang, Fengqing, Xin Niu, Gangyi Feng, et al.. (2022). Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer's Disease related neurodegeneration. NeuroImage. 263. 119621–119621. 13 indexed citations
8.
Feng, Gangyi, et al.. (2021). Neural dynamics underlying the acquisition of distinct auditory category structures. NeuroImage. 244. 118565–118565. 8 indexed citations
9.
Wong, Patrick C. M., Ching Man Lai, Ting Fan Leung, et al.. (2021). Neural Speech Encoding in Infancy Predicts Future Language and Communication Difficulties. American Journal of Speech-Language Pathology. 30(5). 2241–2250. 10 indexed citations
10.
Feng, Gangyi, et al.. (2021). Neural fingerprints underlying individual language learning profiles. Journal of Neuroscience. 41(35). JN–RM. 5 indexed citations
11.
Feng, Gangyi, et al.. (2020). A distributed dynamic brain network mediates linguistic tone representation and categorization. NeuroImage. 224. 117410–117410. 8 indexed citations
12.
Feng, Gangyi, Erin M. Ingvalson, Tina M. Grieco‐Calub, et al.. (2018). Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients. Proceedings of the National Academy of Sciences. 115(5). E1022–E1031. 64 indexed citations
13.
Feng, Gangyi, et al.. (2017). Task-General and Acoustic-Invariant Neural Representation of Speech Categories in the Human Brain. Cerebral Cortex. 28(9). 3241–3254. 37 indexed citations
14.
Feng, Gangyi, Hsuan-Chih Chen, Zude Zhu, Yong He, & Suiping Wang. (2015). Dynamic brain architectures in local brain activity and functional network efficiency associate with efficient reading in bilinguals. NeuroImage. 119. 103–118. 22 indexed citations
15.
Feng, Gangyi, Qi Chen, Zude Zhu, & Suiping Wang. (2015). Separate Brain Circuits Support Integrative and Semantic Priming in the Human Language System. Cerebral Cortex. 26(7). 3169–3182. 15 indexed citations
16.
Zhu, Zude, Yuanyuan Fan, Gangyi Feng, Ruiwang Huang, & Suiping Wang. (2013). Large Scale Brain Functional Networks Support Sentence Comprehension: Evidence from Both Explicit and Implicit Language Tasks. PLoS ONE. 8(11). e80214–e80214. 9 indexed citations
17.
Zhu, Zude, et al.. (2013). The role of the left prefrontal cortex in sentence-level semantic integration. NeuroImage. 76. 325–331. 36 indexed citations
18.
Zhu, Zude, Peter Hagoort, John H. Zhang, et al.. (2012). The anterior left inferior frontal gyrus contributes to semantic unification. NeuroImage. 60(4). 2230–2237. 58 indexed citations
19.
Cheung, Him, Lan Chen, Gangyi Feng, et al.. (2011). False belief and verb non-factivity: A common neural basis?. International Journal of Psychophysiology. 83(3). 357–364. 13 indexed citations
20.
Feng, Gangyi, et al.. (2011). Left Inferior Frontal Gyrus and Semantic Unification in Sentence Comprehension. 19(8). 1147–1157. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hyo Woon Yoon Breakdown of academic impact, for papers by Marc Vander Ghinst Breakdown of academic impact, for papers by Kiefer J. Forseth Breakdown of academic impact, for papers by María‐Ángeles Palomar‐García Breakdown of academic impact, for papers by Sara B. Pillay Breakdown of academic impact, for papers by Jens Kreitewolf Breakdown of academic impact, for papers by Mareike Grotheer Breakdown of academic impact, for papers by Nancy Niccum Breakdown of academic impact, for papers by Holly Robson Breakdown of academic impact, for papers by Asako Kashiwagi
Rankless by CCL
2026